VoltarisLabs
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Outbound Calls · Service

Voice agents that pick up the phone.

AI voice agents trained on your tone, your scripts, your win story. They dial warm queues, qualify intent, and book the call worth taking. No SDR seats, no script fatigue, no Monday morning ramp.

Train·Dial·Hand off
What you get

Calls placed. Meetings booked. No dialer headcount required.

In scope
  • Voice agent trained on your brand tone, scripts, and win story
  • Warm-queue dialing across business hours, all time zones
  • Live conversation handling: qualification, objection handling, booking
  • Handoff to human AE on hot signals (urgency, decision-maker confirmed)
  • Full call transcripts, sentiment scoring, CRM sync per dial
  • Compliance handled: TCPA, DNC, recording disclosure
Not us
  • Robocall blasts to cold residential lists
  • Spamming consumers without opt-in or compliance
  • Replacing complex enterprise discovery (we handle qualification, not full close)
  • Manual dialing where humans actually want to talk to humans
  • One-off campaigns under 30 days
How it runs

From voice training to first dial in 10 days.

voltaris@labs:~/outbound-calls
●0/4 steps
What moves

The dialer, in numbers.

dialer.metrics
2s
01rising
0 days
from voice training to first warm dial
02steady
0-0%
live conversation rate on warm queues
03flat
0
dialer seats to staff or manage
●3 metrics tracked
Why teams switch

Human dialers vs AI voice agents. Where coverage and cost split.

Axis
Human dialers
VoltarisLabs
Time to first dial
4-8 weeks (hire, train, ramp)
10 days
Coverage
40 hrs/wk, single time zone
Full business hours, all zones
Cost per dial
$3-7 fully loaded
Cents per minute
Script consistency
Drifts by Friday afternoon
Identical, every call
Reporting
Weekly call notes, often missing
Full transcripts + sentiment
See it in action

Title companies book agent and lender meetings without a calling room.

How independent title companies use Title Voice to dial agent and lender lists, qualify book of business, and route warm conversations to closers. Outbound that runs while the team works the file.

Read the use case
FAQ

Common questions. Honest answers before you dial.

Yes. We disclose at start of every call where required by law (most US states). Disclosure language is tuned to feel natural, not robotic. Most callers continue the conversation; the ones who hang up were not buying anyway.
Latest generation voice models. Most callers do not realize until disclosure. We use ElevenLabs, Vapi, Retell depending on use case. Voice tuned to your brand, not generic.
Built in. We scrub against DNC lists, respect opt-outs, log all dispositions, handle recording disclosure per state. Compliance is non-negotiable, not optional.
Yes, within scope. We train objection handling on your top 10-20 patterns. Anything beyond that escalates to a human AE live or books a callback.
Depends on list quality. On warm queues with intent signals, we see meetings booked within first 50-100 dials. Cold queues take longer; usually we recommend lead-gen first to warm them.
Every call recorded and reviewed weekly in tuning sessions. Flagged calls get human review. Bad routes corrected, scripts updated, edge cases trained. The agent improves with use, not in spite of it.
Stop staffing the dialer

Run outbound calls on a system, not a team.

30-minute call. Tell us your queue and your win story, we show you what the first 30 days would look like. No pitch deck.

Book a CallSee the use case